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Nanoparticle Assembly and Transport at Liquid-Liquid Interfaces

Lin, Y., Skaff, H., Emrick, T., Dinsmore, A. D., Russell, T. P.·2003·Science

Abstract

The self-assembly of particles at fluid interfaces, driven by the reduction in interfacial energy, is well established. However, for nanoscopic particles, thermal fluctuations compete with interfacial energy and give rise to a particle-size–dependent self-assembly. Ligand-stabilized nanoparticles assembled into three-dimensional constructs at fluid-fluid interfaces, where the properties unique to the nanoparticles were preserved. The small size of the nanoparticles led to a weak confinement of the nanoparticles at the fluid interface that opens avenues to size-selective particle assembly, two-dimensional phase behavior, and functionalization. Fluid interfaces afford a rapid approach to equilibrium and easy access to nanoparticles for subsequent modification. A photoinduced transformation is described in which nanoparticles, initially soluble only in toluene, were transported across an interface into water and were dispersed in the water phase. The characteristic fluorescence emission of the nanoparticles provided a direct probe of their spatial distribution.

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Metadata

Authors
Lin, Y., Skaff, H., Emrick, T., Dinsmore, A. D., & Russell, T. P.
Venue
Science
Published
2003-01-10
Volume
299
Issue
5604
Pages
226-229
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1982352044
Cited by
995
References
0
FWCI
25.01
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Nanoparticle Assembly and Transport at Liquid-Liquid Interfaces. https://app.cochat.ai/papers/10.1126/science.1078616
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Lin, Y., Skaff, H., Emrick, T., Dinsmore, A. D., & Russell, T. P. (2003). Nanoparticle Assembly and Transport at Liquid-Liquid Interfaces. Science. https://doi.org/10.1126/science.1078616

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.